/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 43 Define the points \(P(-4,1), Q(3... [FREE SOLUTION] | 91影视

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Define the points \(P(-4,1), Q(3,-4),\) and \(R(2,6)\) Express \(\overrightarrow{Q R}\) in the form \(a \mathbf{i}+b \mathbf{j}\)

Short Answer

Expert verified
Question: Express the vector QR in the form a**i** + b**j** for the given points P(-4, 1), Q(3, -4), and R(2, 6). Answer: Vector QR = -1**i** + 10**j**

Step by step solution

01

Coordinate Differences

Find the differences in x and y coordinates when going from point Q to point R. That is, calculate Rx - Qx and Ry - Qy. Rx - Qx = 2 - 3 = -1 Ry - Qy = 6 - (-4) = 10
02

Express Vector

Now that we have the coordinate differences, we can express vector QR in the form a**i** + b**j**. Use the coordinate differences from Step 1 as the coefficients for a and b. Vector QR = -1**i** + 10**j**

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Coordinate Differences
When engaging with vectors in the context of mathematics or physics, one of the fundamental concepts we encounter is that of coordinate differences. This concept is pivotal when trying to understand the direction and magnitude of a vector which represents the positional change from one point to another. In a two-dimensional space, each point is defined by two coordinates, generally represented on an x (horizontal) and y (vertical) axis.

To determine the vector that represents the movement from one point to another, we subtract the coordinates of the starting point from the coordinates of the ending point. For example, if we have points P(x鈧,y鈧) and Q(x鈧,y鈧), the coordinate differences would be (x鈧 - x鈧) for the x-axis and (y鈧 - y鈧) for the y-axis. These differences then become the components of the resultant vector. When students grasp this method, vectors can be used to effectively describe movements in physics, shifts in positions in geometry, or changes in quantities in economics.
Vector Notation
Vectors can be daunting at first glance, yet their representation through vector notation is elegantly simple and highly informational. Vector notation is a means to express the components of a vector in a standard and concise form. In a two-dimensional space, vectors are usually written in the form of \(a \mathbf{i} + b \mathbf{j}\), where \(a\) and \(b\) are the scalar components along the x-axis and y-axis respectively, while \(\mathbf{i}\) and \(\mathbf{j}\) are unit vectors. These unit vectors point in the positive direction of their respective axes, providing a reference for direction.

With proper notation, we can quickly ascertain the horizontal and vertical components of a vector, and these components are crucial for numerically solving vector-related problems, such as those involving velocity, force, or displacement in physics. It鈥檚 the simplicity and universality of this notation that empowers students to visualize and manipulate vectors across various applications.
Position Vectors
Within the world of vectors, position vectors hold a special relevance; they denote the location of a point in a coordinate system relative to an origin. Often represented as \(\overrightarrow{OP}\), where O is the origin (0,0) in two-dimensional space and P is the point in question, position vectors simplify the understanding of points in terms of vectors.

Each position vector consists of the point's coordinates as its components and is often expressed using the established vector notation. As a position vector emanates from the origin, it effectively captures the point's position in the plane. This concept is widely used in physics for motion analysis and in computer graphics for positioning objects within a scene. These vectors serve not only as a means to pinpoint locations but also as foundational tools to construct more complex vector operations such as addition, scaling, and dot product. Through mastering position vectors, students can progress to more intricate concepts and develop an appreciation for geometric translations and transformations in vector spaces.

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Most popular questions from this chapter

Prove the following vector properties using components. Then make a sketch to illustrate the property geometrically. Suppose \(\mathbf{u}, \mathbf{v},\) and \(\mathbf{w}\) are vectors in the \(x y\) -plane and a and \(c\) are scalars. $$a(\mathbf{u}+\mathbf{v})=a \mathbf{u}+a \mathbf{v}$$

Cauchy-Schwarz Inequality The definition \(\mathbf{u} \cdot \mathbf{v}=|\mathbf{u}||\mathbf{v}| \cos \theta\) implies that \(|\mathbf{u} \cdot \mathbf{v}| \leq|\mathbf{u}||\mathbf{v}|\) (because \(|\cos \theta| \leq 1\) ). This inequality, known as the Cauchy-Schwarz Inequality, holds in any number of dimensions and has many consequences. Triangle Inequality Consider the vectors \(\mathbf{u}, \mathbf{v},\) and \(\mathbf{u}+\mathbf{v}\) (in any number of dimensions). Use the following steps to prove that \(|\mathbf{u}+\mathbf{v}| \leq|\mathbf{u}|+|\mathbf{v}|\) a. Show that \(|\mathbf{u}+\mathbf{v}|^{2}=(\mathbf{u}+\mathbf{v}) \cdot(\mathbf{u}+\mathbf{v})=|\mathbf{u}|^{2}+\) \(2 \mathbf{u} \cdot \mathbf{v}+|\mathbf{v}|^{2}\) b. Use the Cauchy-Schwarz Inequality to show that \(|\mathbf{u}+\mathbf{v}|^{2} \leq(|\mathbf{u}|+|\mathbf{v}|)^{2}\) c. Conclude that \(|\mathbf{u}+\mathbf{v}| \leq|\mathbf{u}|+|\mathbf{v}|\) d. Interpret the Triangle Inequality geometrically in \(\mathbb{R}^{2}\) or \(\mathbb{R}^{3}\).

Suppose \(\mathbf{u}\) and \(\mathbf{v}\) are vectors in the plane. a. Use the Triangle Rule for adding vectors to explain why \(|\mathbf{u}+\mathbf{v}| \leq|\mathbf{u}|+|\mathbf{v}| .\) This result is known as the Triangle Inequality. b. Under what conditions is \(|\mathbf{u}+\mathbf{v}|=|\mathbf{u}|+|\mathbf{v}| ?\)

Proof of Cross Product Rule Prove that $$\frac{d}{d t}(\mathbf{u}(t) \times \mathbf{v}(t))=\mathbf{u}^{\prime}(t) \times \mathbf{v}(t)+\mathbf{u}(t) \times \mathbf{v}^{\prime}(t)$$ There are two ways to proceed: Either express \(\mathbf{u}\) and \(\mathbf{v}\) in terms of their three components or use the definition of the derivative.

Jack pulls east on a rope attached to a camel with a force of 40 ib. Jill pulls north on a rope attached to the same camel with a force of 30 Ib. What is the magnitude and direction of the force on the camel? Assume the vectors lie in a horizontal plane.

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